An artificial liver support system (ALSS) is an effective therapy for patients with severe liver injury. A vasovagal reaction (VVR) is a common complication in various treatment settings but has not been reported previously in ALSS.
This study retrospectively evaluated patients who suffered an ALSS-related VRR between January 2018 and June 2019. We collected data from VVR episodes including onset time, duration, changes in heart rate (HR) and blood pressure (BP), and drug treatment.
Among 637 patients who underwent ALSS treatment, 18 were included in the study. The incidence of VVR was approximately 2.82%. These patients were characterized by a rapid decrease in BP or HR with associated symptoms such as chest distress, nausea, and vomiting. The majority of patients (78%) suffered a VVR during their first ALSS treatment. Sixteen patients (89%) had associated symptoms after treatment began. Sixteen patients (89%) received human albumin or Ringer's solution. Atropine was used in 11 patients (61%). The symptoms were relieved within 20?min in 15 patients and over 20?min in 3 patients.
A VVR is a rare complication in patients with severe liver injury undergoing ALSS treatment. Low BP and HR are the main characteristics of a VVR.
A VVR is a rare complication in patients with severe liver injury undergoing ALSS treatment. Low BP and HR are the main characteristics of a VVR.To correlate body weight, body mass index (BMI), and water-equivalent diameter () and to assess size-specific dose estimates (SSDEs) based on body weight and BMI for chest and abdomen-pelvic CT examinations.
An in-house program was used to calculate , size-dependent conversion factor (), and SSDE for 1178 consecutive patients undergoing chest and abdomen-pelvic CT examinations. Associations among body weight, BMI, and were determined, and linear equations were generated using linear regression analysis of the first 50% of the patient population. SSDEs (SSDEand SSDE) were calculated based on body weight and BMI as surrogates on the second 50% of the patient population. Mean root-mean-square errors of SSDEand SSDEwere computed with SSDE from the axial images as reference values.
Both body weight and BMI correlated strongly with for the chest (= 0.85, 0.87, all &lt; 0.001) and abdomen-pelvis (= 0.85, 0.86, all &lt; 0.001). Mean values of SSDEand SSDEbased on the linear equations for body weight, BMI, and were in close agreement with SSDE from the axial images, with overall mean root-mean-square errors of 0.62?mGy (6.10%) and 0.57?mGy (5.65%), for chest, and 0.76?mGy (5.61%) and 0.71?mGy (5.22%), for abdomen-pelvis, respectively.
Both body weight and BMI, serving as surrogates, can be used to calculate SSDEs in the chest and abdomen-pelvis CT examinations, providing values comparable to SSDEs from the axial images, with an overall mean root-mean-square error of less than 0.76?mGy or 6.10%.
Both body weight and BMI, serving as dw surrogates, can be used to calculate SSDEs in the chest and abdomen-pelvis CT examinations, providing values comparable to SSDEs from the axial images, with an overall mean root-mean-square error of less than 0.76?mGy or 6.10%.To align multimodal images is important for information fusion, clinical diagnosis, treatment planning, and delivery, while few methods have been dedicated to matching computerized tomography (CT) and magnetic resonance (MR) images of lumbar spine. This study proposes a coarse-to-fine registration framework to address this issue. Firstly, a pair of CT-MR images are rigidly aligned for global positioning. Then, a bending energy term is penalized into the normalized mutual information for the local deformation of soft tissues. In the end, the framework is validated on 40 pairs of CT-MR images from our in-house collection and 15 image pairs from the SpineWeb database. Experimental results show high overlapping ratio (in-house collection, vertebrae 0.97 ± 0.02, blood vessel 0.88 ± 0.07; SpineWeb, vertebrae 0.95 ± 0.03, blood vessel 0.93 ± 0.10) and low target registration error (in-house collection, ?2.00 ± 0.62?mm; SpineWeb, ?2.37 ± 0.76?mm) are achieved. The proposed framework concerns both the incompressibility of bone structures and the nonrigid deformation of soft tissues. It enables accurate CT-MR registration of lumbar spine images and facilitates image fusion, spine disease diagnosis, and interventional treatment delivery.Lung injury and inflammation are complex pathological processes. The influence and crosstalk between various cells form a characteristic microenvironment. Extracellular vesicles from different cell sources in the microenvironment carry multiple cargo molecules, which affect the pathological process through different pathways. Here, we mainly discussed the mechanism of crosstalk between alveolar epithelial cells and different immune cells through extracellular vesicles in lung inflammation and reviewed the mechanism of extracellular vesicles released by blood and airways on lung inflammation. Finally, the role of extracellular vesicles in viral infection of the lung was also described.To investigate whether Polyphyllin I (PPI) might induce the autophagy and apoptosis of melanoma cells by regulating PI3K/Akt/mTOR signal pathway. Melanoma A375 cells were incubated with different concentrations of Polyphyllin I (0, 1.5, 3.0, and 6.0?mg/L) and PI3K/Akt/mTOR signaling pathway activator IGF-1(20?mg/L). CCK-8 assay was utilized to detect cell proliferation; Cell apoptosis and cell cycle were measured by flow cytometry; Western blot was used to examine the expressions of proteins. https://www.selleckchem.com/products/XL765(SAR245409).html Immunofluorescence analysis was performed to evaluate autophagy of A375 cells; In addition, xenograft-bearing nude mice were applied to study the role of Polyphyllin I on melanoma development, melanoma cell proliferation, as well as melanoma cell apoptosis in vivo. The outcomes represented that Polyphyllin I promoted A375 cell apoptosis via upregulating Bax level and cleaved caspase-3 level and downregulating Bcl-2 level, inhibited the growth of A375 cells at the G0/G1 phase, and enhanced cell autophagy via regulating the levels of Beclin 1, LC3II, and p62.